As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
COVID-19 and impact on peer review
Aims and scope
Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in farm animal species and in other species that provide novel and/or relevant insights into the genetics of farm animals.
Announcing our expansion in scope
Historically Genetics Selection Evolution has been focused on publishing studies based on genetic and genomic data, but with vast increases in the spectrum of other -omic data and fast evolving statistical and computing technologies, we are extending our scope to also support contributions on other -omic data and the use of biotechnology in animal breeding.
Please see here for a full description of our journal scope. We would like to emphasize that contributions must include statements on the relevance of the work to the broader readership of the journal.
© Sergey Nivens
Articles
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Genetic diversity and effective population sizes of thirteen Indian cattle breeds
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Genomic prediction using a reference population of multiple pure breeds and admixed individuals
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Tests of association based on genomic windows can lead to spurious associations when using genotype panels with heterogeneous SNP densities
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Assessment of trade-offs between feed efficiency, growth-related traits, and immune activity in experimental lines of layer chickens
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A review on SNP and other types of molecular markers and their use in animal genetics
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Ancient DNA studies: new perspectives on old samples
The Erratum to this article has been published in Genetics Selection Evolution 2013 45:4
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Direct and social genetic parameters for growth and fin damage traits in Atlantic cod (Gadus morhua)
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Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models
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Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits
2019
Retrospective Collection
Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.
Published: 19 November 2019
2018
Thematic Series
Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.
Published: 19 November 2018
2016
Thematic Series
International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.
Published: 29 March 2016
Editors-in-Chief
Didier Boichard, INRAE, France
Jack Dekkers, Iowa State University, US
Helene Hayes, INRAE, France
Julius van der Werf, University of New England, Australia
Featured: Phenomes: the current frontier in animal breeding
Pérez-Enciso and Steibel discuss the influence of phenomics in livestock breeding, aiming to foster discussion and research in this area.
Featured: Enhancing backcross programs through increased recombination
Tourrette et al. used an in silico approach to determine the impact of increasing recombination rate and modifying recombination landscapes in backcross programs, by focusing on the objective of recovering as much as possible of the recurrent genome.
About the Editors-in-Chief
INRAE
Didier Boichard
Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.
Iowa State University
Jack Dekkers
Jack Dekkers is professor and leader of the Animal Breeding and Genetics Section in the Department of Animal Science at Iowa State University (USA).
His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.
INRAE
Helene Hayes
Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.
sheepcrc
Julius Van Der Werf
Professor Julius van der Werf holds a PhD (1990) in Animal Breeding from Wageningen University in the Netherlands. He moved to the University of New England (Armidale, Australia) in 1997, where he is now Professor in Animal Breeding and Genetics and Program Leader of Genetics in the Cooperative Research Center for Sheep Industry Innovation.
His research interests range from methodological issues on the estimation of genetic parameters (design and data structure, mixed models analysis, genetic evaluation models, random regression models) and genomic analysis (genomic prediction, genome wide association studies, design of experiments, models for genomic prediction, phasing and imputation) to applications for the optimization of animal breeding programs (breeding objectives, optimizing selection, optimizing, measurement, long and short term gains, genetic gain and genetic diversity, total genetic resource management).
Official journal of
Annual Journal Metrics
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Speed
55 days to first decision for reviewed manuscripts only
41 days to first decision for all manuscripts
235 days from submission to acceptance
13 days from acceptance to publication
Citation Impact
3.950 - 2-year Impact Factor
4.017 - 5-year Impact Factor
1.445 - Source Normalized Impact per Paper (SNIP)
1.500 - SCImago Journal Rank (SJR)
Usage
679,524 downloads
646 Altmetric mentions